Cortical connectivity and memory performance in cognitive decline: A study via graph theory from EEG data

•Memory loss associated with pathological changes in connectivity and network structures.•Alzheimer’s disease interferes with memory formation at neural networks organization.•One hundred and forty-four subjects were recruited: 70 AD, 50 MCI and 24 healthy subjects.•Undirected and weighted cortical...

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Veröffentlicht in:Neuroscience Jg. 316; S. 143 - 150
Hauptverfasser: Vecchio, F., Miraglia, F., Quaranta, D., Granata, G., Romanello, R., Marra, C., Bramanti, P., Rossini, P.M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Elsevier Ltd 01.03.2016
Schlagworte:
Aged
Alzheimer and MCI
Alzheimer Disease - complications
Analysis of Variance
Brain Mapping
Brain Waves - physiology
Cerebral Cortex - pathology
Cerebral Cortex - physiopathology
Cognitive Dysfunction - complications
EEG and alpha band
Electroencephalography
eLORETA
Female
functional connectivity
graph theory
Humans
Linear Models
Male
memory
Memory Disorders - etiology
Memory Disorders - pathology
Mental Status Schedule
Nerve Net - pathology
Nerve Net - physiopathology
Neurology
Neuropsychological Tests
Verbal Learning
ROIs
AD
memory
SW
graph theory
EEG
ICA
MNI
eLORETA
MCI
functional connectivity
BAs
MMSE
Alzheimer and MCI
EEG and alpha band
Mini Mental State Evaluation
independent component analysis
Alzheimer’s disease
Small World
electroencephalogram
Regions of Interests
Montreal Neurological Institute
Brodmann Areas
exact low-resolution electromagnetic tomography
mild cognitive impairment
ISSN:0306-4522, 1873-7544, 1873-7544
Online-Zugang:Volltext
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Zusammenfassung:•Memory loss associated with pathological changes in connectivity and network structures.•Alzheimer’s disease interferes with memory formation at neural networks organization.•One hundred and forty-four subjects were recruited: 70 AD, 50 MCI and 24 healthy subjects.•Undirected and weighted cortical brain network was built to evaluate graph measures.•A high statistical correlation between Small World and memory performance was found. Functional brain abnormalities including memory loss are found to be associated with pathological changes in connectivity and network neural structures. Alzheimer’s disease (AD) interferes with memory formation from the molecular level, to synaptic functions and neural networks organization. Here, we determined whether brain connectivity of resting-state networks correlate with memory in patients affected by AD and in subjects with mild cognitive impairment (MCI). One hundred and forty-four subjects were recruited: 70 AD (MMSE Mini Mental State Evaluation 21.4), 50 MCI (MMSE 25.2) and 24 healthy subjects (MMSE 29.8). Undirected and weighted cortical brain network was built to evaluate graph core measures to obtain Small World parameters. eLORETA lagged linear connectivity as extracted by electroencephalogram (EEG) signals was used to weight the network. A high statistical correlation between Small World and memory performance was found. Namely, higher Small World characteristic in EEG gamma frequency band during the resting state, better performance in short-term memory as evaluated by the digit span tests. Such Small World pattern might represent a biomarker of working memory impairment in older people both in physiological and pathological conditions.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0306-4522
1873-7544
1873-7544
DOI:10.1016/j.neuroscience.2015.12.036